By continuing to browse on our website, you give to Lavoisier the permission to add cookies for the audience measurement.
To know more about cookies and their configuration, please go to the
Confidentiality & Security page.

This new edition to the classic book by ggplot2 creator Hadley Wickham
highlights compatibility with knitr and RStudio. ggplot2 is a data
visualization package for R that helps users create data graphics,
including those that are multi-layered, with ease. With ggplot2, it's easy
to:

- produce handsome, publication-quality plots with
automatic legends created from the plot specification- superimpose
multiple layers (points, lines, maps, tiles, box plots) from different
data sources with automatically adjusted common scales- add
customizable smoothers that use powerful modeling capabilities of R, such
as loess, linear models, generalized additive models, and robust regression-
save any ggplot2 plot (or part thereof) for later modification or reuse-
create custom themes that capture in-house or journal style requirements
and that can easily be applied to multiple plots- approach a graph
from a visual perspective, thinking about how each component of the data
is represented on the final plot

This book will be useful to
everyone who has struggled with displaying data in an informative and
attractive way. Some basic knowledge of R is necessary (e.g., importing
data into R). ggplot2 is a mini-language specifically tailored for
producing graphics, and you'll learn everything you need in the book.
After reading this book you'll be able to produce graphics customized
precisely for your problems, and you'll find it easy to get graphics out
of your head and on to the screen or page.

Hadley Wickham is Chief Scientist at RStudio and Assistant Professor of Statistics at Rice University. Hadley is interested in developing computational and cognitive tools for making data preparation, visualization, and analysis easier.

Brings the book up-to-date with ggplot2 1.0, including major updates to the theme system